Qluster
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About
Qluster is an AI-powered data workflow platform designed to automate and enhance the data ingestion process. It aims to tackle issues caused by inaccurate, incomplete, or inconsistent data by providing a comprehensive solution for data cleaning. The platform utilizes adaptive data importing, which automatically detects new files and uses machine learning to profile incoming data while enabling users to establish custom validation rules. Qluster quarantines bad data to prevent it from entering the system and allows for easy review and correction. Additionally, the tool offers features such as observability of data issues, data lineage tracking to monitor changes, and secure handling of data with high encryption standards. It supports various file formats and integrates with popular cloud services like Google Cloud and AWS. Qluster's solutions are built to ease the burden of data management and empower analysts and operations teams, making data handling more efficient and less error-prone.
Platform
Task
Features
• support for various file formats
• data cleaning automation
• intelligent data matching
• data lineage tracking
• security compliance and data encryption
• cloud integration (aws, google cloud)
• observability of data issues
• data quarantine
• ai-powered adaptive data importing
FAQs
What data source connections does Qluster support?
Qluster supports integrations with Amazon S3, MinIO, Google Cloud Storage, and Dropbox.
Can data be transformed before arriving at its destination?
Yes, Qluster can perform common transformations, but it is not a traditional ETL tool.
What data formats does Qluster support?
Qluster accepts CSV, XLSX, JSON, and JSONL, and can handle compressed or GPG encrypted files.
What infrastructure is required to run Qluster?
For SaaS, a Postgres database and an object storage layer are needed. For enterprise, a Kubernetes cluster is required.
Is client data retained by Qluster?
No, Qluster does not keep or sell any client data; it prioritizes client data security.
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